Summary
Emir Arditi is a Technical Staff and PhD candidate in Computer Science based in Istanbul with a decade of experience spanning academic research, teaching, and startup engineering. His research focuses on deep and inverse reinforcement learning for continuous control and multiagent systems, with guest research stints at leading Japanese neurointelligence centers and hands-on robotics work early in his career. He balances rigorous research—supervising and assisting advanced machine learning and multiagent courses—with practical product experience as a former co-founder and full-stack developer. At Kanzy and Özyeğin University he bridges applied RL research and engineering, bringing both experimental rigor and production-minded implementation to complex control problems. Colleagues describe him as someone who pairs theoretical depth with an appetite for building real systems, making him effective at translating cutting-edge RL methods into tangible outcomes.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Özyeğin University
Math and Science, Math and Science at V.K.V Koç High School
Master's degree, Computer Science, 4.0, Master's degree, Computer Science, 4.0 at Özyeğin Üniversitesi
Turkish, English, Spanish